Huan Liu

Research output

Research output per year 1988 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 389 Conference contribution
• 135 Article
• 30 Editorial
• 18 Chapter
• 33 More
  • 12 Review article
  • 7 Conference article
  • 5 Patent
  • 4 Book
  • 3 Paper
  • 1 Foreword/postscript
  • 1 Comment/debate

Research output per year

Research output per year

Search results

• 1988

  Building a generic architecture for robot hand control

  Liu, H., Iberall, T. & Bekey, G. A., 1988, IEEE Int Conf on Neural Networks. New York, NY, USA: Publ by IEEE, p. 567-574 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Robots 100%
  • Level control 58%
  • Controllers 55%
  • Neural networks 31%
  8 Scopus citations

• ROBOT HAND-EYE COORDINATION: SHAPE DESCRIPTION AND GRASPING.

  Rao, K., Medioni, G., Liu, H. & Bekey, G. A., Jan 1 1988, Unknown Host Publication Title. IEEE, p. 407-411 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Robots 100%
  • Cones 73%
  • Data structures 64%
  15 Scopus citations
• 1989

  Multi-dimensional quality of task requirements for dextrous robot hand control

  Liu, H., Iberall, T. & Bekey, G. A., 1989, IEEE Int Conf Rob Autom 1989. Anon (ed.). Piscataway, NJ, United States: Publ by IEEE, p. 452-457 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Robots 100%
  • Refining 76%
  19 Scopus citations
• 1990

  Optimizing knowledge-based system design

  Liu, H., Wen, W. & Rowles, C. D., Feb 1 1990, Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE, p. 269-274 6 p. (Proceedings of the Conference on Artificial Intelligence Applications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Knowledge based systems 100%
  • Systems analysis 68%
  • Simulated annealing 26%
  • Telephone 6%
  • Cables 5%
  1 Scopus citations
• 1992

  Design, evaluation and redesign

  Liu, H., Rowles, C. D. & Wen, W., Feb 1 1992, Proceedings of the Conference on Artificial Intelligence Applications. Publ by IEEE, p. 267-271 5 p. (Proceedings of the Conference on Artificial Intelligence Applications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Telecommunication 100%
  1 Scopus citations

• Self-Generating Neural Networks

  Wen, W. X., Liu, H. & Jennings, A., 1992, Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Institute of Electrical and Electronics Engineers Inc., p. 850-855 6 p. (Proceedings of the International Joint Conference on Neural Networks; vol. 4).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neurons 100%
  • Neural networks 65%
  10 Scopus citations
• 1994

  Source power estimation in linear arrays

  Ko, C. C. & Liu, H., 1994, IEEE Antennas and Propagation Society, AP-S International Symposium (Digest). IEEE, Vol. 3. p. 1560-1563 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sensors 100%
• 1995

  Chi2: feature selection and discretization of numeric attributes

  Liu, H. & Setiono, R., 1995, Proceedings of the International Conference on Tools with Artificial Intelligence. Anon (ed.). IEEE, p. 388-391 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature extraction 100%
  • Statistics 32%
  826 Scopus citations

• X2R: a fast rule generator

  Liu, H. & Tan, S. T., 1995, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Anon (ed.). IEEE, Vol. 2. p. 1631-1635 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Golf 100%
  • Learning algorithms 59%
  44 Scopus citations
• 1997

  Dimensionality reduction of unsupervised data

  Dash, M., Liu, H. & Yao, J., 1997, Proceedings of the International Conference on Tools with Artificial Intelligence. Anon (ed.). IEEE, p. 532-539 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Dimensionality reduction 100%
  • Principal component analysis 86%
  • Entropy 38%
  • Feature extraction 35%
  • Experiments 16%
  145 Scopus citations

• Neurolinear: A system for extracting oblique decision rules from neural networks

  Setiono, R. & Liu, H., 1997, Machine Learning: ECML-97 - 9th European Conference on Machine Learning, Proceedings. van Someren, M., Widmer, G. & Widmer, G. (eds.). Springer Verlag, p. 221-233 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1224).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Decision Rules 100%
  • Oblique 96%
  • Hyperplane 77%
  • Neural Networks 76%
  • Neural networks 49%
  7 Scopus citations

• Similarity detection among data files - a machine learning approach

  Dash, M. & Liu, H., 1997, Proceedings of the IEEE Knowledge & Data Engineering Exchange Workshop, KDEX. Anon (ed.). Piscataway, NJ, United States: IEEE, p. 172-179 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Machine learning 100%
  • Semantics 46%
  4 Scopus citations
• 1998

  A monotonic measure for optimal feature selection

  Liu, H., Motoda, H. & Dash, M., 1998, Machine Learning: ECML-1998 - 10th European Conference on Machine Learning, Proceedings. Nédellec, C. & Rouveirol, C. (eds.). Springer Verlag, p. 101-106 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1398).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Monotonic 73%
  • Feature extraction 57%
  • Exhaustive Search 49%
  • Experiments 26%
  50 Scopus citations

• CFMD: A conflict-free multivariate discretization algorithm

  Lu, Y., Liu, H. & Tan, C. L., 1998, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 1394. p. 397-398 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1394).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Data mining application: Customer retention at the Port of Singapore Authority (PSA)

  Ng, K., Liu, H. & Kwah, H., Jun 1998, SIGMOD Record (ACM Special Interest Group on Management of Data). Anon (ed.). 2 ed. Croatian Soc Chem Eng, Vol. 27. p. 522-525 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Gaging 100%
  • Association rules 82%
  • Decision trees 73%
  • Sales 72%
  • Data mining 62%
  7 Scopus citations

• Feature transformation and multivariate decision tree induction

  Liu, H. & Setiono, R., 1998, Discovery Science - 1st International Conference, DS 1998, Proceedings. Arikawa, S. & Motoda, H. (eds.). Springer Verlag, p. 279-291 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1532).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Decision tree 100%
  • Proof by induction 77%
  • Decision trees 75%
  • Fragmentation 58%
  • Feature Vector 47%
  10 Scopus citations

• Fragmentation problem and automated feature construction

  Setiono, R. & Liu, H., 1998, Proceedings of the International Conference on Tools with Artificial Intelligence. Anon (ed.). IEEE, p. 208-215 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning algorithms 100%
  4 Scopus citations

• Hybrid search of feature subsets

  Dash, M. & Liu, H., 1998, PRICAI 1998: Topics in Artificial Intelligence - 5th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Lee, H-Y. & Motoda, H. (eds.). Springer Verlag, p. 238-249 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1531).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Hybrid Algorithm 63%
  • Separability 54%
  • Subset 41%
  • Feature extraction 34%
  10 Scopus citations

• Identifying relevant databases for multidatabase mining

  Liu, H., Lu, H. & Yao, J., 1998, Research and Development in Knowledge Discovery and Data Mining - 2nd Pacific-Asia Conference, PAKDD 1998, Proceedings. Wu, X., Kotagiri, R. & Korb, K. B. (eds.). Springer Verlag, p. 210-221 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1394).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mining 100%
  • Data mining 39%
  • Data Mining 36%
  • Process Mining 29%
  • Knowledge Discovery 22%
  37 Scopus citations
• 1999

  Efficient search of reliable exceptions

  Liu, H., Lu, H., Feng, L. & Hussain, F., 1999, Methodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings. Zhong, N. & Zhou, L. (eds.). Springer Verlag, p. 194-204 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1574).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Exception 100%
  • Data mining 84%
  • Data Mining 38%
  • Object 22%
  • Deviation 15%
  43 Scopus citations

• Feature selection using consistency measure

  Dash, M., Liu, H. & Motoda, H., 1999, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 1721. p. 319-320 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1721).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Search Methods 90%
  • Evaluate 59%
  • Feature extraction 57%
  • Subset 41%
  1 Scopus citations

• Mining weak rules

  Liu, H. & Lu, H., 1999, Proceedings - IEEE Computer Society's International Computer Software and Applications Conference. IEEE, p. 309-310 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data mining 100%

• Towards an evolutionary algorithm: A comparison of two feature selection algorithms

  Chen, K. & Liu, H., 1999, Proceedings of the 1999 Congress on Evolutionary Computation, CEC 1999. IEEE Computer Society, Vol. 2. p. 1309-1313 5 p. 782597

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Evolutionary Algorithms 88%
  • Probabilistic Algorithms 25%
  • Data Mining 21%
  • Comparative Study 20%
  14 Scopus citations
• 2000

  Consistency based feature selection

  Dash, M., Liu, H. & Motoda, H., 2000, Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Terano, T., Liu, H. & Chen, A. L. P. (eds.). Springer Verlag, p. 98-109 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1805).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Dimensionality reduction 81%
  • Data mining 61%
  • Feature extraction 57%
  • Search Strategy 40%
  137 Scopus citations

• Exception rule mining with a relative interestingness measure

  Hussain, F., Liu, H., Suzuki, E. & Lu, H., 2000, Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Terano, T., Liu, H. & Chen, A. L. P. (eds.). Springer Verlag, p. 86-97 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1805).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Mining 100%
  • Exception 79%
  • Data mining 66%
  • Experiments 28%
  • Knowledge 24%
  78 Scopus citations

• Feature selection for clustering

  Dash, M. & Liu, H., 2000, Knowledge Discovery and Data Mining: Current Issues and New Applications - 4th Pacific-Asia Conference, PAKDD 2000, Proceedings. Terano, T., Liu, H. & Chen, A. L. P. (eds.). Springer Verlag, p. 110-121 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1805).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Clustering 70%
  • Data mining 61%
  • Feature extraction 57%
  • Clustering algorithms 33%
  171 Scopus citations

• Intelligent micro-fluidic system for drug delivery

  Tay, F. E. H., Choong, W. O., Liu, H. & Xu, G. L., 2000, Proceedings of the IEEE International Conference on Industrial Technology. Vol. 2. p. 70-75 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Drug delivery 100%
  • Fluidics 85%
  • Pump 71%
  • Pumps 57%
  • Drug 39%
  2 Scopus citations
• 2001

  '1+1>2': Merging distance and density based clustering

  Dash, M., Liu, H. & Xu, X., 2001, Proceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001. Institute of Electrical and Electronics Engineers Inc., p. 32-39 8 p. 916361. (Proceedings - 7th International Conference on Database Systems for Advanced Applications, DASFAA 2001).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Merging 100%
  • Clustering algorithms 92%
  • Data mining 56%
  55 Scopus citations

• A distributed hierarchical clustering system for web mining

  Wen, C. W., Liu, H., Wen, W. X. & Zheng, J., 2001, Advances in Web-Age Information Management - 2nd International Conference, WAIM 2001, Proceedings. Wang, X. S., Yu, G. & Lu, H. (eds.). Springer Verlag, p. 103-113 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2118).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Web Mining 100%
  • Hierarchical Clustering 76%
  • Hierarchical clustering 63%
  • Binary trees 33%
  • Neural networks 32%
  12 Scopus citations

• Efficient hierarchical clustering algorithms using partially overlapping partitions

  Dash, M. & Liu, H., 2001, Advances in Knowledge Discovery and Data Mining - 5th Pacific-Asia Conference, PAKDD 2001, Proceedings. Cheung, D., Williams, G. J. & Li, Q. (eds.). Springer Verlag, p. 495-506 12 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 2035).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hierarchical Clustering 100%
  • Clustering Algorithm 93%
  • Hierarchical clustering 82%
  • Overlapping 74%
  • Partitioning 70%
  4 Scopus citations

• Efficiently determining the starting sample size for progressive sampling

  Gu, B., Liu, B., Hu, F. & Liu, H., 2001, Machine Learning: ECML 2001 - 12th European Conference on Machine Learning, Proceedings. de Raedt, L. & Flach, P. (eds.). Springer Verlag, p. 192-202 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2167).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Sample Size 100%
  • Sampling 91%
  • Entire 47%
  • Large Data Sets 45%
  • Learning Algorithm 43%
  13 Scopus citations

• Efficient yet accurate clustering

  Dash, M., Tan, K. L. & Liu, H., 2001, Proceedings - 2001 IEEE International Conference on Data Mining, ICDM'01. p. 99-106 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Hierarchical clustering 100%
  • Clustering algorithms 77%
  • Data storage equipment 26%
  • Experiments 15%
  5 Scopus citations

• Modelling classification performance for large data sets: An empirical study

  Gu, B., Hu, F. & Liu, H., 2001, Advances in Web-Age Information Management - 2nd International Conference, WAIM 2001, Proceedings. Wang, X. S., Yu, G. & Lu, H. (eds.). Springer Verlag, p. 317-328 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2118).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Curve 100%
  • Large Data Sets 78%
  • Empirical Study 73%
  • Modeling 42%
  • Set theory 41%
  24 Scopus citations

• Using feature transformation and selection with polynomial networks

  Campbell, W. M. & Liu, H., 2001, Proceedings of SPIE - The International Society for Optical Engineering. Priddy, K. L., Keller, P. E. & Angeline, P. J. (eds.). Vol. 4390. p. 175-186 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • polynomials 100%
  • Polynomials 86%
  • fast Fourier transformations 26%
  • Fast Fourier transforms 21%
  • Authentication 19%
• 2002

  Feature selection for clustering - A filter solution

  Dash, M., Choi, K., Scheuermann, P. & Liu, H., 2002, Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002. p. 115-122 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Clustering algorithms 100%
  • Feature extraction 85%
  • Entropy 61%
  • Dimensionality reduction 40%
  • Set theory 23%
  336 Scopus citations
• 2003

  Active feature selection using classes

  Liu, H., Yu, L., Dash, M. & Motoda, H., 2003, Advances in Knowledge Discovery and Data Mining. Wang, K-Y., Jeon, J., Shim, K. & Srivastava, J. (eds.). Springer Verlag, p. 474-485 12 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 2637).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Feature extraction 57%
  • Sampling 34%
  • Random Sampling 29%
  • Class 22%
  16 Scopus citations

• Active learning with ensembles for image classification

  Liu, H., Mandvikar, A., Foschi, P. & Torkkola, K., 2003, IJCAI International Joint Conference on Artificial Intelligence. p. 1435-1436 2 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Problem-Based Learning 100%
  • Image classification 92%
  • Classifiers 61%
  • Labeled data 50%
  2 Scopus citations

• Efficiently handling feature redundancy in high-dimensional data

  Yu, L. & Liu, H., 2003, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 685-690 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Redundancy 100%
  • Feature extraction 90%
  • Data mining 65%
  56 Scopus citations

• Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution

  Yu, L. & Liu, H., 2003, Proceedings, Twentieth International Conference on Machine Learning. Fawcett, T. & Mishra, N. (eds.). p. 856-863 8 p. (Proceedings, Twentieth International Conference on Machine Learning; vol. 2).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature extraction 100%
  • Redundancy 55%
  • Machine learning 47%
  2055 Scopus citations

• Situation-Aware Personalized Information Retrieval for Mobile Internet

  Yau, S-S., Liu, H., Huang, D. & Yao, Y., 2003, Proceedings - IEEE Computer Society's International Computer Software and Applications Conference. p. 639-644 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information retrieval 100%
  • Internet 70%
  • Information systems 55%
  • Energy utilization 24%
  • Communication 17%
  28 Scopus citations
• 2004

  A low cost polymer based piezo-actuated micropump for drug delivery system

  Liu, H., Tay, A. A. O., Wan, S. Y. M. & Lim, G. C., 2004, 2004 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2004. Laudon, M. & Romanowicz, B. (eds.). p. 251-254 4 p. (2004 NSTI Nanotechnology Conference and Trade Show - NSTI Nanotech 2004; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Drug Delivery Systems 100%
  • Precision engineering 50%
  • Polymers 49%
  • Polycarbonates 41%
  • Micromachining 41%
  4 Scopus citations

• Class-specific ensembles for active learning in digital imagery

  Mandvikar, A. & Liu, H., 2004, SIAM Proceedings Series. Berry, M. W., Dayal, U., Kamath, C. & Skillicorn, D. (eds.). p. 412-421 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Active Learning 100%
  • Imagery 93%
  • Ensemble 62%
  • Classifier 30%
  • Class 18%
  1 Scopus citations

• Compact dual ensembles for active learning

  Mandvikar, A., Liu, H. & Motoda, H., 2004, Advances in Knowledge Discovery and Data Mining - 8th Pacific-Asia Conference, PAKDD 2004, Proceedings. Dai, H., Srikant, R. & Zhang, C. (eds.). Springer Verlag, p. 293-297 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3056).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Active Learning 100%
  • Problem-Based Learning 72%
  • Ensemble 62%
  • Classifiers 44%
  • Classifier 42%
  2 Scopus citations

• Redundancy based feature selection for microarray data

  Yu, L. & Liu, H., 2004, KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 737-742 6 p. (KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Microarrays 100%
  • Genes 83%
  • Redundancy 74%
  • Feature extraction 67%
  • Gene expression 12%
  180 Scopus citations

• Robust feature induction for support vector machines

  Jin, R. & Liu, H., 2004, Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004. Greiner, R. & Schuurmans, D. (eds.). p. 449-456 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Support vector machines 100%
  4 Scopus citations

• Sensor selection for maneuver classification

  Torkkola, K., Venkatesan, S. & Liu, H., 2004, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. p. 636-641 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sensors 100%
  • Automobiles 90%
  • Machine learning 71%
  • Simulators 70%
  • Experiments 34%
  15 Scopus citations

• SWITCH: A novel approach to ensemble learning for heterogeneous data

  Jin, R. & Liu, H., 2004, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Boulicaut, J-F., Esposito, F., Pedreschi, D. & Giannotti, F. (eds.). Vol. 3201. p. 560-562 3 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning systems 100%
  • Image classification 20%
  • Machine learning 14%
  • Switches 14%
  • Testing 10%
  4 Scopus citations

• Teaching Undergraduates Data Mining in Engineering Programs

  Banks, D. L., Dong, G., Liu, H. & Mandvikar, A., 2004, Proceedings - Frontiers in Education Conference, FIE. Vol. 2.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Teaching 100%
  • Data mining 94%
  • Students 21%
  2 Scopus citations
• 2005

  A novel approach to model generation for heterogeneous data classification

  Jin, R. & Liu, H., 2005, IJCAI International Joint Conference on Artificial Intelligence. p. 746-751 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image classification 100%
  • Learning systems 95%
  3 Scopus citations

• Bias analysis in text classification for highly skewed data

  Tang, L. & Liu, H., 2005, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005. p. 781-784 4 p. 1565781. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature extraction 100%
  • Classifiers 61%
  • Decision trees 42%
  • Support vector machines 34%
  • Experiments 15%
  36 Scopus citations